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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Number of items: 3.

2015

White, Simon R. and Hutchinson, Sharon J. and Taylor, Avril and Bird, Sheila M. (2015) Modeling the initiation of others into injection drug use, using data from 2,500 injectors surveyed in Scotland during 2008-2009. American Journal of Epidemiology, 181 (10). pp. 771-780. ISSN 0002-9262

2004

Champion, J.K. and Taylor, A. and Hutchinson, S. and Cameron, S. and McMenamin, J. and Mitchell, A. and Goldberg, D.J. (2004) Incidence of hepatitis C virus infection and associated risk factors among Scottish prison inmates: a cohort study. American Journal of Epidemiology, 159 (5). pp. 514-519. ISSN 0002-9262

2001

Parpia, T. and Raab, G.M. and Goldberg, D.J. and Allardice, G.M. and McMenamin, J. and Whitelaw, J. and McSharry, C. and Potts, R. and Herriot, R. (2001) Effect of combination therapy on immunological progression of Human Immunodeficiency virus at a population level. American Journal of Epidemiology, 153 (9). pp. 898-902. ISSN 0002-9262

This list was generated on Tue Aug 11 20:42:52 2020 BST.